Magnus Johnsson

Lund University, Institute for Cognitive Science Studies

Papers

15

Total Citations

240

H-Index

9

About

Magnus Johnsson is a robotics and cognitive science researcher whose work sits at the intersection of artificial intelligence, haptic perception, and bio-inspired computing. Based at Lund University Cognitive Science (LUCS), Johnsson has dedicated much of his career to understanding and replicating the sense of touch in robotic systems, a challenging and underexplored frontier in robotics research. His most significant contributions center on the development of the LUCS Haptic Hand series — a progression of anthropomorphic robotic hands designed to model human neurophysiology computationally. Using self-organizing maps (SOMs) and tensor product representations, Johnsson pioneered systems capable of extracting meaningful features from haptic and proprioceptive sensory data, earning him over 34 citations for his landmark 2011 review alone. His neural network models of haptic shape perception (36 citations) further demonstrate his ability to bridge neuroscience and engineering. Beyond touch, Johnsson developed Ikaros, a cognitive modeling framework for robots that has garnered 41 citations — his most influential work — and explored motion estimation using growing neural gas techniques. With a body of work accumulating over 200 citations, Johnsson remains an important voice in bio-inspired robotics and embodied artificial cognition.

Research Focus

Key Achievements

9
H-Index
15
Papers
240
Total Citations
16
Avg Citations/Paper
🏆 Most Cited Paper
Ikaros: Building cognitive models for robots
41 citations · 2009
📈 Most Prolific Year: 2006 (4 Papers)
🤝 Key Collaborators: 9
🏛 Institutions: Lund University, Institute for Cognitive Science Studies

Top Papers

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    LUCS Haptic Hand II
    10 citations · 2006
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Key Collaborators

Contact & Links

Available for collaboration
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